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UIView's frame, bounds, center, origin, when to use what?
UIView has the properties frame , bounds , center , and origin , and they all seem to be interrelated. Most of the time, I deal with frame when setting the position and size of a UIView . I understand that frame is using global coordinate system and bounds is using coordinate of the lo...
Change default global installation directory for node.js modules in Windows?
In my windows installation PATH includes C:\Program Files\nodejs , where executable node.exe is. I'm able to launch node from the shell, as well as npm . I'd like new executables to be installed in C:\Program Files\nodejs as well, but it seems impossible to achieve.
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NSString property: copy or retain?
Let's say I have a class called SomeClass with a string property name:
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For files in directory, only echo filename (no path)
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Why can I pass 1 as a short, but not the int variable i?
Why does the first and second Write work but not the last? Is there a way I can allow all 3 of them and detect if it was 1, (int)1 or i passed in? And really why is one allowed but the last? The second being allowed but not the last really blows my mind.
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XML schema or DTD for logback.xml?
I've seen several discussions on the net about how great it would be to have an XML schema or DTD for logback.xml file to have at least the very basic validation and auto-completion in IDEs like IDEA or Eclipse, but I never saw any solution.
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usr/bin/ld: cannot find -l
I'm trying to compile my program and it returns this error :
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Do you need to close meta and link tags in HTML?
I was just reading somebody's HTML who never closed meta and link tags in the HTML head section. The code worked fine; is closing these tags optional?
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How to find the kth largest element in an unsorted array of length n in O(n)?
I believe there's a way to find the kth largest element in an unsorted array of length n in O(n). Or perhaps it's "expected" O(n) or something. How can we do this?
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Is there a rule-of-thumb for how to divide a dataset into training and validation sets?
Is there a rule-of-thumb for how to best divide data into training and validation sets? Is an even 50/50 split advisable? Or are there clear advantages of having more training data relative to validation data (or vice versa)? Or is this choice pretty much application dependent?
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